Objective To analyse temporal trends of respiratory infectious diseases (RIDs) in Baiyin City from 2014 to 2023, aiming to explore the epidemiological patterns of these diseases (tuberculosis, scarlet ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

The group created a physical AI-based vehicle state estimation system designed to track how electric vehicles behave in real ...

A research team led by Professor Kanghyun Nam from the Department of Robotics and Mechanical Engineering at DGIST has ...

Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...

Abstract: Power flow (PF) is one of the most important calculations in power systems. The widely-used PF methods are the Newton-Raphson PF (NRPF) method and the fast-decoupled PF (FDPF) method. In ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

Introduction Armed conflict severely impacts health, with indirect deaths often exceeding direct casualties two to four times ...

Background The likelihood of HIV acquisition is increased following forced vaginal sex. This relates in part to ...

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.